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Apr 7, 2009
04/09

by
Jeffrey Ventrella

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Self Portrait using variation on the Mandelbrot Set equation, and a genetic algorithm that finds parameters that generate images using a 50X50 gif image of Ventrella's face as a fitness function. See http://www.ventrella.com/Tweaks/Portraits/ for more info

Topics: Mandelbrot, portrait, genetic algorithm

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Aug 11, 2013
08/13

by
Hamid Reza Vosoughifar, Seyed Kazem Sadat Shokouhi

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Structural Health Monitoring

Topics: Structural Health Monitoring, Genetic Algorithm

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Apr 8, 2009
04/09

by
Jeffrey Ventrella

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Sel fPortr aitBasedOn theMan delbrotS etCreate dwith a gen etical gorithmusing a gif imageofVen trella'sF aceasaf itnessFunctio n.See http://www.ventrella.com/Tweaks/Portraits/ fordet ails.

Topics: Mandelbrot, genetic algorithm, self portrait

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This project work presents approach for cardiac arrhythmia disease classification. The GA-SVM method combines both Support Vector Machine (SVM) and Genetic Algorithm approaches. First, twenty two features from electrocardiogram signal are extracted. ECG feature extraction plays a significant role in diagnosing most of the cardiac diseases. One cardiac cycle in an ECG signal consists of the P-QRS-T waves. This feature extraction scheme determines the amplitudes and intervals in the ECG signal...

Topics: ECG, Arrhythmia, Support Vector Machine, Genetic Algorithm

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Jun 11, 2015
06/15

by
IASET JOURNALS

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Federated Cloud computing is one of the upcoming latest new computing paradigm where applications and data services are provided by multiple cloud providers over the Internet. Today‘s some of the business organizations use federated cloud environment. The Task management is the important role in federated cloud computing systems. Task scheduling problems are main which relate to the efficiency of the whole federated cloud computing facilities. The main focus is to study various problems,...

Topics: Cloud Computing, Dynamic Scheduling, Genetic Algorithm, Optimization

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Due to the problem of global warming continued to increase, in order to reduce emissions of greenhouse gases, so that all countries will be focusing its attention in the automobile industry. Reducing carbon emissions by production of electric vehicles is undoubtedly a big feasible solution. Therefore, vehicle manufacturers develop high-performance electric vehicles, but the related infrastructure of electric vehicles is not perfect, affecting people to buy electric vehicles. Such as...

Topics: Electric Vehicle, Path Planning, Genetic Algorithm

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Feb 17, 2009
02/09

by
Jeffrey Ventrella

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This is a tweak of the Mandelbrot Set using a genetic algorithm to imitate an image of my head. See http://www.ventrella.com/Tweaks/Portraits/ for details

Topics: Mandelbrot, genetic algorithm, mimesis, fractal, portrait

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Portfolio optimization is the task of allocating the investors capital amongdifferent assets in such a way that the returns are maximized while at the same time, therisk is minimized. The traditional model followed for portfolio optimization is theMarkowitz model [1], [2],[3]. Markowitz model, considering the ideal case of linearconstraints, can be solved using quadratic programming, however, in real-life scenario, thepresence of nonlinear constraints such as limits on the number of assets in...

Topics: Genetic Algorithm, portfolio optimization, Markowitz, BSE

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A System state in HTTP botnet uses HTTP protocolfor the creation of chain of Botnets thereby compromisingother systems. By using HTTP protocol and port number 80,attacks can not only be hidden but also pass through thefirewall without being detected. The DPR based detectionleads to better analysis of botnet attacks [3]. However, itprovides only probabilistic detection of the attacker and alsotime consuming and error prone. This paper proposes a Geneticalgorithm based layered approach for...

Topics: HttpBotnet, DPR, Firewall, Layered approach, Genetic Algorithm

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Sep 26, 2012
09/12

by
Sudakshina Dasgupta, Paramartha Dutta

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Wireless Sensor Network has emerged as an important technology of the future due to its potential for application across a wide array of domains. The issue of optimizing the limited and often non-renewable energy of sensor nodes due to its direct impact on network lifetime dominates every aspect of wireless sensor networks. Clustering protocols significantly impact network lifetime, routing algorithms and connectivity. In our work we have proposed energy efficient approach for clustering which...

Topics: Wireless Sensor Network, Cluster-Heads, Genetic Algorithm

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Feb 18, 2009
02/09

by
Jeffrey Ventrella

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This is a tweak of the Mandelbrot Set using a genetic algorithm to imitate an image of my head. See http://www.ventrella.com/Tweaks/Portraits/ for details. Another cane be found at http://www.archive.org/details/FractalSelf-portrait

Topics: Mandelbrot, genetic algorithm, mimesis, fractal, portrait

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Dec 3, 2013
12/13

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Tarun Goyal & Aakanksha Agrawal

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Cloud computing is a paradigm in which IT (information technology) application provide as a service. Cloud computing allows users to utilize the computation, storage, data and services from around the world in commercialize manner. In cloud environment, scheduling is the major issue. Scheduling is responsible efficient utilization of the resources. In this paper, a Scheduling model based on minimum network delay using Suffrage Heuristic coupled with Genetic algorithms for scheduling sets of...

Topics: Cloud Computing, Suffrage Heuristic, and Genetic Algorithm

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Feature subset selection is a process of selecting asubset of minimal, relevant features and is a pre processingtechnique for a wide variety of applications. High dimensionaldata clustering is a challenging task in data mining. Reducedset of features helps to make the patterns easier to understand.Reduced set of features are more significant if they areapplication specific. Almost all existing feature subsetselection algorithms are not automatic and are not applicationspecific. This paper made...

Topics: feature subset selection, Genetic Algorithm and clustering

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A FACTS device such as TCSC provides electromechanical damping between large electrical systems by modulating the reactance of one or more specific interconnecting power lines. In other words, the TCSC will provide a variable capacitive reactance. In the electricity market, the location of the devices and their control can significantly affectthe operation of the system. Optimal location and control of these devices will be very important for the power market regulators.In this the use of TCSC...

Topics: Available Transfer Capability, Thyristor Controlled Series Compensator, Genetic Algorithm, New...

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This paper presents a study on optimization of process parameters using genetic algorithm to reduce the transverse distortion in 304 L stainless steel butt welded plates. Distortion, the major problem in welded plates, results from the expansion and contraction of the weld metal and adjacent base metal during the heating and cooling cycle of the welding process. During this heating and cooling cycle, many factors affect shrinkage of the metal and lead to distortion, such as physical and...

Topics: Arc Welding, 304L Stainless Steel, Distortion, Finite Element, Genetic Algorithm

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Sep 26, 2012
09/12

by
Ping Zhang, Ju Jiang, Haiyan Xu, Xueshan Han

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Genetic algorithm (GA) is an intelligent method based on natural selection for global numerical optimization. To make use of the great advantages of GA, this paper focuses on applying GA to multi-dimensional bin-packing problem (MBP). In multi-dimensional bin-packing problem, the primary goal is putting grouping items into appropriate bins with the same dimensions to make full use of the bins and minimize the number of bins used. In other words, the optimal solution requires that most bins are...

Topics: Genetic Algorithm, Multi-dimensional Bin-packing, Fitness Function

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Dec 21, 2007
12/07

by
MCLD

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Rhythmic ambient music created with Genetic Algorithms (a way of implementing evolution in a virtual environment). More info at http://www.mcld.co.uk/evolutionarysound/ These are live recordings, with no processing or post-production. No samples, no predefined patterns - everything you hear is created on-the-fly by evolutionary processes.

Topics: experimental, evolution, genetic, generative, genetic algorithm, genetic programming

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In the last few years, there has been explosive growth in the application of meta-heuristics algorithm for solving Sudoku puzzles in computer science. In this paper we present a hybrid genetic algorithm (HGA) that uses a “random” technology to improve the performance of genetic algorithm. We also show the performance of the algorithms for solving Sudoku puzzles with 46 different examples. The experimental results indicate that HGA is able to produce very competitive results with respect to...

Topics: Sudoku, Hybrid Genetic Algorithm, Metaheuristics Algorithm, Optimization, Random Search Strategy

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This paper concerns the optimal choice andallocation of FACTS (Flexible AC Transmission Systems)devices in multi-machine power system using geneticalgorithm. The objective is to improve the system loadabilityand the voltage stability. Using the proposed method, thelocations of the FACTS devices, their types and rated valuesare optimized simultaneously. Different kinds of FACTSdevices are simulated in this study: Thyristor ControlledSeries Compensator (TCSC) and Static Var Compensator(SVC)....

Topics: FACTS devices, TCSC, SVC, Genetic algorithm, restructured power systems.

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Jul 20, 2015
07/15

by
Dadmehr Rahbari

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Control of traffic lights at the intersections of the main issues is the optimal traffic. Intersections to regulate traffic flow of vehicles and eliminate conflicting traffic flows are used. Modeling and simulation of traffic are widely used in industry. In fact, the modeling and simulation of an industrial system is studied before creating economically and when it is affordable. The aim of this article is a smart way to control traffic. The first stage of the project with the objective of...

Topics: urban traffic, petri net, genetic algorithm, ijorcs, ijorcs.org

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Multicast services are increased in exponential manner in these last few years and in particular in the field of multimedia services. Multicast can reduce resources allocation and enhance network performances in terms of QoS, especially in a wireless platforms where the bandwidth is a precious resource. The problem of multicast routing can be reduced to the problem of finding a spanning tree capable to distribute network flow among multicast sources and destinations. It has been established...

Topics: Scalable Algorithm, Multicast routing, heterogeneous platforms, Genetic Algorithm, Simulated...

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Jan 10, 2015
01/15

by
Innovative Research Publications

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In order to overcome the limitation when usingtraditional genetic algorithm in solving constrainedoptimization problems, this paper presents a new methodof constrain handling to solve the constrainedoptimization problems. Firstly, the method makes full useof the condensed characteristics of the KS function totransform multi-constrained optimization problem into asingle constraint optimization problem. And then a grouppenalty method is adopted by genetic algorithm. Aggregateconstraint reduces...

Topics: KS function, grouping penalty, genetic algorithm, constraint handling

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This paper presents a study on optimization of process parameters using genetic algorithm to reduce the transverse distortion in 304 L stainless steel butt welded plates. Distortion, the major problem in welded plates, results from the expansion and contraction of the weld metal and adjacent base metal during the heating and cooling cycle of the welding process. During this heating and cooling cycle, many factors affect shrinkage of the metal and lead to distortion, such as physical and...

Topics: Arc Welding, 304L Stainless Steel, Distortion, Finite Element, Genetic Algorithm

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The paper outlines an experimental study to explain the effect of various process parameters on hard turning of EN19, is a high quality alloy steel which is heat treated to 50HRC. Four parameters were chosen as process variables: Speed, Feedrate, and Depth of cut and coolant flow rate. Surface roughness, tool-work piece interface temperature, and Material removal rate are selected as responses. Design of experiment is prepared using Box-Behnken designs in Response surface methodology and 28...

Topics: Genetic Algorithm, Hard Part Turning, Response Surface Methodology

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The integration of embedded generation (EG) units into the distribution system brings technical and economicbenefits to the power system network. But, placement of EG’s at non optimized locations can effect voltage profile withincreased system losses. This paper intends the optimal placement and contingency analysis of several EmbeddedGeneration (EG) units in distribution network using Genetic Algorithm (GA). The main intention is to diminish the totalreal power losses with proper voltage...

Topics: Genetic Algorithm (GA), Embedded Generation (EG), Contingency Analysis

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The stratified sampling is a method of sampling from a population. The focus will be on determine the best stratum boundaries using proportional allocation, which makes the variance less what can be, so we get more statistical precision than with simple random sampling. Assuming that the number of strata and the total sample size are predetermined. A genetic algorithm is used to obtain the stratum boundaries and the allocated sample size depending on the objective function of minimum variance...

Topics: Stratified Sampling, Stratum Boundaries, Proportional Allocation, Genetic Algorithm

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The genetic regulatory network, which is constructed fromthe time‐courses data sets, is always described as highlynonlinear differential equations. Mathematical andcomputational modeling technologies focus on efficientlyidentifying the parameters of the nonlinear dynamicbiological system. Various derivative‐free and derivativebasedoptimization technologies have been proposedrecently to infer the parameters of the S‐type geneticregulatory networks (S‐systems). The S‐system is...

Topics: Parameter Estimation, S‐System, Memetic Computation, Genetic Algorithm

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Masters thesis describing the construction and use of a general purpose Genetic Algorithm tool kit and the application of the kit to the TVA Raccoon Mountain Pumped Storage facility.

Topic: genetic algorithm, thesis, pumped storage, scheduling, artificial intelligence

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May 3, 2015
05/15

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Innovative Research Publications

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Short-term load forecasting (STLF) plays an essential role in the economic system and save the country's electricity supply. In this paper, are used a neural network with genetic learning algorithm for forecasting the electric power load of Khorasan area in Iran. Because the importance of neural network inputs, select the optimal inputs is deducted errors system. Consumption load is a nonlinear function of various factors such as weather conditions and periodic changes. This paper proposed a...

Topics: Short-term load forecast, Neural Network, Genetic algorithm.

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Genetic algorithms (GAs) can be used in information retrieval (IR) to optimize the query "solution”. This paperproposes a GA-based IR algorithm that adjusts the weights of keywords of a query in order to generate an optimal or nearoptimal query vector. In this algorithm, each query is represented by a chromosome. These chromosomes are feed intogenetic operator process: selection, crossover, and mutation to get new population, then, to get better solutions, a localsearch procedure is...

Topics: Information, Retrieval, Genetic Algorithm, Query Optimization, Similarity Measures

203
203

Sep 26, 2012
09/12

by
Guang Dong, Wei He, Ming Fang, Guangcai Cui

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This paper designs a hybrid genetic algorithm for job-shop scheduling combined with a Genetic Algorithm (GA), Simulated Annealing (SA), and a Tabu Search (TS) algorithm. It gives a method for initial population generation for avoiding unreasonable solutions, and introduces SA and TS into the genetic operation mechanism of GA for overcoming the lack of job-shop scheduling optimization. Simulated computations show the superiority of the hybrid genetic algorithm, and examples verify the...

Topics: Job-shop Scheduling, Genetic Algorithm, Simulated Annealing Algorithm, Tabu Search

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Feb 12, 2014
02/14

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Priti Tyagi, Udhav Bhosle

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In environmental monitoring and modeling, a key role isplayed by satellite image analysis throughout the precedentfew decades. The capability of several types of changedetection analysis is achieved by regular observation on aspecified region over time. These can be complicated asvariations in sensor calibration, changes in illumination andobservation angles, and differences in atmospheric effectscause radiometric inconsistency. Generation of high qualityscience data and thereby higher level...

Topics: Artificial Neural Network, Genetic Algorithm, Absolute Radiometric Calibration, Image Registration

In the recent technology advances, an increasing number of users are accessing various information systems via wireless communication. The majority users in a mobile environment are moving and accessing wireless services for the activities they are currently unavailable inside. We propose the idea of complex activity for characterizing thecontinuously changing complex behavior patterns of mobile users. For the purpose of data management, a complex activity is copy as a sequence of location...

Topics: Activity mining, Prefectching, pushing, proactive data management, Genetic Algorithm

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In this research, the development of a fast numerical method was performed in order to solve the Option Pricing problems governed by the Black-Scholes equation using an accelerated genetic algorithm method. Where the Black-Scholes equation is a well known partial differential equation in financial mathematics. A discussion of the solutions was introduced for the linear Black-Scholes model with the European options (Call and Put) analytically and numerically ,with and without transformation to...

Topics: Linear Black-Scholes Equation, American and European Options, Genetic Algorithm

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The objective of this work is to develop ahardware-based watermarking system to identify the deviceusing which the photograph was taken. The watermark chipwill be fit in any electronic component that acquires theimages, which are then watermarked in real time whilecapturing along with separate key. Watermarking is theprocess of embedding the watermark, in which a watermarkis inserted in to a host image while extracting the watermarkthe watermark is pulled out of the image. The ultimateobjective...

Topics: Digital watermarking, VLSI, Genetic algorithm, colour space transformation, Hardware Implementation

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This paper deals with redundancy allocation problem of complex system with ten subsystems connected in parallel with identical components. The reliability of each component is considered to be imprecise. This impreciseness has been represented by different fuzzy numbers. Then the corresponding problem has been transformed to crisp constrained optimization problem using different defuzzification methods. The transformed problem has been converted into unconstrained optimization problem by Big-M...

Topics: Reliability-redundancy Allocation, Genetic Algorithm, Fuzzy Number, Defuzzification, Penalty...

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The genetic regulatory network, which is constructed from the time-courses data sets, is always described as highly nonlinear differential equations. Mathematical and computational modeling technologies focus on efficiently identifying the parameters of the nonlinear dynamic biological system. Various derivative-free and derivative-based optimization technologies have been proposed recently to infer the parameters of the S-type genetic regulatory networks (S-systems). The S-system is described...

Topics: Parameter Estimation, S-System, Memetic Computation, Genetic Algorithm

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Genetic Algorithm are capable of handling a largenumber of design parameters and work for optimizationproblems that have discontinues or non-differentiablemultidimensional solution spaces, making them ideal foroptimization of machining parameters. Current paper is basedon Genetic Algorithm (GA) for optimization of processparameters (e.g. feed and speed) for multi-objective multi passend milling. GA has been implemented using the MATLABenvironment on the objective function, which is a...

Topics: Genetic Algorithm (GA), Particle Swarm Optimization (PSO), Crossover, Mutation, chromosome

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Mar 4, 2015
03/15

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Innovative Research Publications

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This research paper presents a technique to select an ideal transformation technique of original and transformed features. The paper reviews about a comparative study of various data transformation techniques used in data mining which includes six types of transformation techniques - Wavelets, Genetic Algorithm and Wrappers, Identity transform, Program synthesis, Data refinement transformation, and Feature Selection technique. The feature selection technique is considered best as it utilizes...

Topics: Data transformation, wavelets, genetic algorithm and wrappers, feature selection technique

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168

Sep 26, 2012
09/12

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Mahdi Goodarzi, Mahmud Goudarzi

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In this article application of genetic algorithm is discussed in order to improve the response of MLP neural network method for forecasting consumed load peak. In this method genetic algorithm is used which has more power in finding total minimum in comparison with algorithms which are based on Newton. This method could find consumed load peak of west of Iran more precise than other models with MRE% (Mean relative error percent) equal 1.207. Several models of ANN with a hidden layer have been...

Topics: genetic algorithm, neural network, neural-genetic, consumed load peak

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Manufacturing industry today faces the challenge of having to develop high quality products faster and economically than ever before. Therefore optimization is seen as an innovative technique under certain premises.Optimization in turning means determination of the optimal set of machining parameters to satisfy the objectives within the operational constraints. Predictive modeling is essential for understanding and optimization of the machining process. The aim of this study is to develop an...

Topics: Artificial Neural Network (ANN), Genetic Algorithm(GA), Regression Analysis, CVD

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1.4K

Jul 23, 2012
07/12

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Jigar S.Sarda, Manish J. Chauhan, Viren B. Pandya, Dhaval G. Patel

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The problem of improving the voltage profile and reducing power loss in electrical networks is a task that must be solved in an optimal manner. Therefore, placement of FACTS devices in suitable location can lead to control in-line flow and maintain bus voltages in desired level and reducing losses is required. This paper presents one of the heuristic methods i.e. a Genetic Algorithm to seek the optimal location of FACTS devices in a power system. Proposed algorithm is tested on IEEE 30 bus...

Topics: FACTS Devices, Genetic Algorithm, Optimal location, ijorcs, ijorcs.org

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Simulation of an improved cyclone was carried out by means of Artificial Neural Networks (ANNs), adaptive-network-based fuzzy inference system (ANFIS), and hybrid ANN-Genetic Algorithm (GA). The apparatus consists of two cyclones coupled with a specially designed cylindrical chamber, which includes a rotating tube inside with air-impinging nuzzles drilled on the peripheral surface of the tube. The chamber includes a tube with nozzles on its peripheral surface from which jet-impingement flow...

Topics: Dust Removal, Jet-Impingement, Genetic Algorithm, Neural Network, ANFIS

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Aiming at the issue of constrained optimization problem of firepower assignment for ship-to-air missile system, hybrid genetic algorithm has been proposed in this paper based on adaptive penalty function. The constrained optimization problem is converted into the unconstrained one through the introduction of adaptive penalty function. Hybrid genetic algorithm is proposed by combining standard genetic algorithm with hill climbing to solve the unconstrained optimization problem, which can get...

Topics: Firepower Assignment, Ship-to-air Missile System, Hybrid Genetic Algorithm

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The increase in power demand and limitation of transmission capacities have led to strong concern among electrical power industrials. The large deployment of distributed generation (DG) sources in distribution network can be an efficient solution to overcome power system technical problems and economical challenges. Unlike centralized electrical generation, the DGs generate electrical energy near to the load centres with small generating capacity. Installing DG may influence power system...

Topics: Backward/Forward Sweep Method, Optimal Placement of DG, Genetic Algorithm

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This paper proposes an approach based on Bacterial Foraging Algorithm (BFA) for optimal placement of Distribution Generations (DGs). The optimal sitting and sizing of distributed generation is formulated as a multi-objective function including the network power losses minimization and voltage profile improvement. BFA algorithm has been employed to optimize the problem. To demonstrate the effectiveness of the proposed approach, it has been applied to 33 and 69 bus systems. The results of the...

Topics: Distributed Generation, Optimal Placement, Bacterial Foraging Algorithm (BFA), Genetic Algorithm...

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Apr 12, 2012
04/12

by
Amir Rezaei-Bazkiaei, Ehsan Dehghan-Niri, Gary F. Dargush, A. Scott Weber

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An effective control strategy with a non-homogeneous soil profile for horizontal Ground Source Heat Pumps (GSHPs) was investigated in this paper. Steps toward development of a comprehensive model to consider the effects of an intermediate blanket on top of the ground pipes were described. The model incorporates the effects of a variety of surface energy fluxes to provide an accurate estimate of the ground thermal regime. The developed model was successfully utilized in conjunction with the...

Topics: Ground source heat pump, tire derived aggregate, non-homogeneous, optimization, genetic algorithm,...

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Live VM migration is a verydominant tool for cluster administrators, allowing parting of hardware and software considerations, consolidating clustered hardware into a single coherent management domain and facilitates fault management, load balancing. Live Migration is a planned scenario. In live migration move a running virtual machine fromone host to another host with no perceived downtime for the VM. During migration there maintain TCP connections of the guest OS. VM is not aware of the...

Topics: Cloud Computing, Optimized Migration, Adaptive Genetic Algorithm, Cloud Booster Algorithm, Virtual...

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May 7, 2016
05/16

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IJOEAR Agriculture journal

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This paper is focused at providing a solution to optimal power flow problem in power systems by using Genetic Algorithm approach. The proposed approach finds the optimal setting of OPF control variables which include generator active output, generator bus voltages, transformer tap-setting and shunt devices with the objective function of minimizing the fuel cost. The proposed Genetic Algorithm technique is modelled to be flexible for implementation to any power systems with the given system...

Topics: Optimal power flow, Fuel cost minimization, Genetic algorithm, engineering journal, International...

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The study of cutoff frequency limits of switchable ferrite microstrip triangular patch antenna through genetic algorithm is presented. In this communication we optimized cutoff frequency limits of switching region of dispersion curve obtained for LiTiMg-ferrite substrate. This dispersion curve become zero or negative under proper magnetic biasing which indicate the switch off state of microstrip antenna printed on the substrate. Within cutoff limits, zero value of propagation constant, resist...

Topics: Microstrip Triangular Patch Antenna, Genetic Algorithm, Fitness Function, Ferrite Substrate,...